ArticleHuman brain mapping2021
A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Systemic physiological "noise" in fMRI has clinical relevance.medRxiv : the preprint server for health sciences · 2025Article
- Interventions for Neural Plasticity in Stroke Recovery.Archives of internal medicine research · 2025Article
- Brain-wide functional connectivity artifactually inflates throughout functional magnetic resonance imaging scans.Nature human behaviour · 2024Article
- Hemodynamic timing in resting-state and breathing-task BOLD fMRI.NeuroImage · 2023Article
- Ability of an altered functional coupling between resting-state networks to predict behavioral outcomes in subcortical ischemic stroke: A longitudinal study.Frontiers in aging neuroscience · 2022Article
- A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI.Human brain mapping · 2021Article
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10 authors.
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Abstract
Individualized treatment of acute stroke depends on the timely detection of ischemia and potentially salvageable tissue in the brain. Using functional MRI (fMRI), it is possible to characterize cerebral blood flow from blood-oxygen-level-dependent (BOLD) signals without the administration of exogenous contrast agents. In this study, we applied spatial independent component analysis to resting-state fMRI data of 37 stroke patients scanned within 24 hr of symptom onset, 17 of whom received follow-up scans the next day. Our analysis revealed "Hypoperfusion spatially-Independent Components" (HICs) whose spatial patterns of BOLD signal resembled regions of delayed perfusion depicted by dynamic susceptibility contrast MRI. These HICs were detected even in the presence of excessive patient motion, and disappeared following successful tissue reperfusion. The unique spatial and temporal features of HICs allowed them to be distinguished with high accuracy from other components in a user-independent manner (area under the curve = 0.93, balanced accuracy = 0.90, sensitivity = 1.00, and specificity = 0.85). Our study therefore presents a new, noninvasive method for assessing blood flow in acute stroke that minimizes interpretative subjectivity and is robust to severe patient motion.
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